Senior lecturer in informatics with a specialization in AI/data science

University of Skövde

Sweden

The position is offered within the area of informatics, with a specialization in artificial intelligence (AI)/data science. At the University of Skövde, informatics is defined as the science that studies how information is represented, processed and communicated in artificial and natural systems, and how such systems are used and developed in order to achieve usable and effective applications and solutions for individuals, organizations or society.

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General Info

Position: Senior lecturer
No. of Positions: 1
Research Field: , ,
Deadline to Apply: Expired
Joining Date: ASAP
Contract Period: Not Mentioned
Salary: According to Standard Norms

Workplace:
Skövde Artificial Intelligence Lab (SAIL)
University of Skövde
University of Skövde
Skövde,

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Qualification Details

  • PhD-degree in informatics (or another relevant subject), or equivalent scientific qualifications
  • proven pedagogical skills with regards to the aspects described in the Appointment Procedure at the University of Skövde
  • documented experience of research in AI/data science
  • ability to communicate well, orally and in writing, in English
  • documented good ability to collaborate with others.

In addition to the qualification requirements, the bases of evaluation for this position are:

  • Degree of proficiency that is required for the employment (see the qualification requirements).
  • Documented experience in teaching trustworthy/explainable AI/data science.
  • Documented experience of research in trustworthy/explainable AI/data science.
  • Documented experience in collaboration with academia, business, and public sector.
  • Documented experience of applying for and receiving external research grants.
  • Certificate of completed training in teaching and learning in higher education (15 ECTS) or demonstration of equivalent education.
  • Ability to communicate well, orally and in writing, in Swedish.

For this position, special emphasis will be placed upon documented experience in teaching trustworthy/explainable AI/data science, documented experience of research in trustworthy/explainable AI/data science, documented experience in collaboration with academia, business, and public sector, and documented experience of applying for and receiving external research grants.

Responsibilities/Job Description

The senior lecturer will strengthen the competence areas within AI and data science. The position primarily comprises teaching, research, administration and supervision. Additional assignments may be included in the position. The senior lecturer will contribute to the research conducted within the Skövde Artificial Intelligence Lab (SAIL) and will be part of the teaching team for the Data Science Master’s programs. The research group SAIL at the University of Skövde consists of about 20 researchers and teachers focusing on various aspects of AI and data science. In recent years, trustworthy AI and machine learning (ML) have emerged as focus areas of SAIL, and today they’re part of almost all of the group’s activities, from understanding complex industrial processes to situation analysis and awareness, from design of molecules within cheminformatics to tactical decision support in aircraft. Regarding trustworthy AI, of particular interest are issues related to trustworthy AI by design, human-centred AI/data science, e.g., visual analytics, interactive ML and automated decision-support, and explainable AI (XAI). In terms of ML, of particular interest are issues related to advanced analytics, i.e., predictive analytics, prescriptive analytics, and forecasting, and issues related the usefulness and usability of ML, e.g., how to incorporate domain knowledge and human expertise in ML. The group has a focus on applied research, with a wide range of partners in industry and the public sector: Steel and process industry, defence and security, aerospace, automotive, pharmaceutical industry, agricultural industry, retail, sport industry and healthcare. See also www.his.se/en/sail.

How to Apply?

Online Application through "Apply Now" Button from this page or from advertisement webpage (URL below)

Reference Number: HS 2020/253
(If any, use it in the necessary place)

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Documents Required

You apply for the position at our website, www.his.se/jobb, by clicking “Apply” at the bottom of the advertisement. Please submit below listed documents:

  • Cover letter.
  • CV
  • Documents supporting your application, for example degrees and diplomas, letters of recommendation etc.
  • Qualification portfolio: Attach a description of your scientific and pedagogical activities.
  • Scientific publications: Attach no more than five published scientific articles (of which at least two were published in the last three years).
  • Complete list of published articles.

If you have publications that cannot be submitted with your application electronically, please contact the Human Resources Department at hr-specialister.hr@his.se. The publications must reach the University no later than one week after the application deadline.

According to the regulations of the National Archives, the University is obliged to keep application documents for two years after the appointment of the position. Applicant requesting documents to be returned will have them returned after the two years, otherwise they will be eliminated.

About the Employer: University of Skövde

Note or Other details

For this position, special emphasis will be placed upon documented experience in teaching trustworthy/explainable AI/data science, documented experience of research in trustworthy/explainable AI/data science, documented experience in collaboration with academia, business, and public sector, and documented experience of applying for and receiving external research grants.

The University of Skövde strives towards ethnic and cultural diversity and equal gender distribution within all employment categories.

The position is full time (100 %) permanent employment. The University applies a probationary period of 6 months.

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Contact details

Information about the position is provided by Henrik Svensson, Head of Division, and Göran Falkman, research leader of SAIL. Union information is provided by Anders Johansson (SACO-S), Sonja Nohlgren (ST). These persons may be reached through the University’s switchboard, 0046-(0)500-44 80 00.

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